Instructions to use Avener/WildCapture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/WildCapture with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Avener/WildCapture") prompt = "A pack of wild wolves hunting in a snowy forest at sunset, capturing their primal instincts in action, close-up shot, dramatic lighting highlighting their power and agility, intense atmosphere, high definition." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Wilderness

- Prompt
- A pack of wild wolves hunting in a snowy forest at sunset, capturing their primal instincts in action, close-up shot, dramatic lighting highlighting their power and agility, intense atmosphere, high definition.
- Negative Prompt
- Out of frame, watermark, blurry, worst quality, low quality, details are not clear, low quality details, distorted details, imperfect, disfigured, ugly, oversaturated, grain, low resolution, poorly drawn, plastic, crossed eyes, ugly eyes, imperfect eyes, mutation, out of focus, long neck, long body, mutated hands and fingers, poorly drawn feet, poorly drawn face, distorted, extra fingers, extra hands, extra harms, extra legs, extra feet, fewer fingers, fewer hands, fewer harms, fewer legs, fewer feet, deformed body, deformed fingers, deformed hands, deformed harms, deformed legs, deformed feet
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Avener/WildCapture
Base model
black-forest-labs/FLUX.1-dev